Mixed Media in Evolutionary Art
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Maslen:2022:CEC,
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author = "Jordan Maslen and Brian J. Ross",
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booktitle = "2022 IEEE Congress on Evolutionary Computation (CEC)",
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title = "Mixed Media in Evolutionary Art",
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year = "2022",
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editor = "Carlos A. Coello Coello and Sanaz Mostaghim",
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address = "Padua, Italy",
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month = "18-23 " # jul,
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isbn13 = "978-1-6654-6708-7",
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abstract = "Mixed media in the real world involves the creation of
works of art that creatively combine a variety of media
on the canvas, for example, watercolour, acrylic paint,
and photographs. We present an evolutionary art system
that implements a digital version of mixed media. A
genetic programming system uses a language that renders
different digital effects on a canvas. Each rendered
effect takes the form of an art object, and the tree
defines a set of art objects that together comprise a
final rendered image. Available effects include
procedural images (textures), image filters, and
bitmaps. An art object is rendered onto the canvas via
a predefined mask shape, which can range from simple
geometric shapes such as circles or squares, to complex
paintbrush strokes and paint splatters. Fitness
evaluation measures the pixel by pixel colour distance
between a rendered canvas and an input target image,
which acts as a compositional guide for rendered
images. Various runs of the system have produced an
interesting variety of stylised, mixed-effect results,
often appearing as abstract glitchy interpretations of
target images.",
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keywords = "genetic algorithms, genetic programming, Image
texture, Histograms, Art, Image color analysis, Shape,
Graphics processing units, Media, evolutionary art,
mixed media",
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DOI = "doi:10.1109/CEC55065.2022.9870271",
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notes = "Also known as \cite{9870271}",
- }
Genetic Programming entries for
Jordan Antonio Mervyn Maslen
Brian J Ross
Citations